{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 人脸识别——通过FaceNet进行人脸相似性计算\n",
    "\n",
    "本案例中，我们使用`FaceNet`神经网络模型进行人脸相似性计算。（本案例仅用于学习研究，讨论交流请到[ModelArts论坛](https://bbs.huaweicloud.com/forum/forum-718-1.html)）\n",
    "\n",
    "首先，使用`MTCNN`神经网络模型检测出人脸区域，然后使用`FaceNet`卷积神经网络提取出人脸的特征向量，最后根据人脸特征向量计算人脸之间的欧式距离，得到人脸的相似性。\n",
    "\n",
    "## MTCNN模型简介\n",
    "\n",
    "[MTCNN（Multi-task convolutional neural network）](https://kpzhang93.github.io/MTCNN_face_detection_alignment/) 中文名称是多任务卷积神经网络，可以用来做人脸区域检测和人脸对齐。在人脸检测中会面临很多不同的问题：遮挡，角度倾斜等。传统方法中，大多使用机器学习的方法，而在MTCNN中，使用深度学习方法结合NMS和边界框回归，将人脸区域坐标和关键点坐标进行识别，相比较机器学习方法，MTCNN能更好地识别不同情况下的人脸。\n",
    "\n",
    "MTCNN模型的详解可以参考：https://kpzhang93.github.io/MTCNN_face_detection_alignment 。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 进入ModelArts\n",
    "\n",
    "点击如下链接：https://www.huaweicloud.com/product/modelarts.html ， 进入ModelArts主页。点击“立即使用”按钮，输入用户名和密码登录，进入ModelArts使用页面。\n",
    "\n",
    "### 创建ModelArts notebook\n",
    "\n",
    "下面，我们在ModelArts中创建一个notebook开发环境，ModelArts notebook提供网页版的Python开发环境，可以方便的编写、运行代码，并查看运行结果。\n",
    "\n",
    "第一步：在ModelArts服务主界面依次点击“开发环境”、“创建”\n",
    "\n",
    "![create_nb_create_button](./img/create_nb_create_button.png)\n",
    "\n",
    "第二步：填写notebook所需的参数：\n",
    "\n",
    "![jupyter](./img/notebook1.png)\n",
    "\n",
    "第三步：配置好notebook参数后，点击下一步，进入notebook信息预览。确认无误后，点击“立即创建”\n",
    "![jupyter](./img/notebook2.png)\n",
    "\n",
    "第四步：创建完成后，返回开发环境主界面，等待Notebook创建完毕后，打开Notebook，进行下一步操作。\n",
    "![modelarts_notebook_index](./img/modelarts_notebook_index.png)\n",
    "\n",
    "### 在ModelArts中创建开发环境\n",
    "\n",
    "接下来，我们创建一个实际的开发环境，用于后续的实验步骤。\n",
    "\n",
    "第一步：点击下图所示的“启动”按钮，加载后“打开”按钮变从灰色变为蓝色后点击“打开”进入刚刚创建的Notebook\n",
    "![jupyter](./img/notebook3.png)\n",
    "![jupyter](./img/notebook4.png)\n",
    "\n",
    "\n",
    "第二步：创建一个Python3环境的的Notebook。点击右上角的\"New\"，然后选择TensorFlow 1.13.1开发环境。\n",
    "\n",
    "第三步：点击左上方的文件名\"Untitled\"，并输入一个与本实验相关的名称，如\"facenet\"\n",
    "![notebook_untitled_filename](./img/notebook_untitled_filename.png)\n",
    "![notebook_name_the_ipynb](./img/notebook_name_the_ipynb.png)\n",
    "\n",
    "\n",
    "### 在Notebook中编写并执行代码\n",
    "\n",
    "在Notebook中，我们输入一个简单的打印语句，然后点击上方的运行按钮，可以查看语句执行的结果：\n",
    "![run_helloworld](./img/run_helloworld.png)\n",
    "\n",
    "\n",
    "开发环境准备好啦，接下来可以愉快地写代码啦！"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "运行下方代码安装成功后，点击Kernel->Restart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: numpy==1.16.2 in /home/ma-user/anaconda3/envs/TensorFlow-1.13.1/lib/python3.6/site-packages\n",
      "\u001b[33mYou are using pip version 9.0.1, however version 20.2.4 is available.\n",
      "You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!pip install numpy==1.16.2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 实践内容"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据和代码下载\n",
    "运行下面代码，进行数据和代码的下载和解压"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "from modelarts.session import Session\n",
    "sess = Session()\n",
    "\n",
    "if sess.region_name == 'cn-north-1':\n",
    "    bucket_path=\"modelarts-labs/notebook/DL_face_recognition_advanced/face.tar.gz\"\n",
    "elif sess.region_name == 'cn-north-4':\n",
    "    bucket_path=\"modelarts-labs-bj4/notebook/DL_face_recognition_advanced/face.tar.gz\"\n",
    "else:\n",
    "    print(\"请更换地区到北京一或北京四\")\n",
    "\n",
    "if not os.path.exists('./src/facenet.py'):\n",
    "    sess.download_data(bucket_path=bucket_path, path=\"./face.tar.gz\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 解压文件"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "if os.path.exists('./face.tar.gz'):\n",
    "    # 解压文件\n",
    "    os.system(\"tar -xf ./face.tar.gz\")\n",
    "\n",
    "    # 清理压缩包\n",
    "    os.system(\"rm -r ./face.tar.gz\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "开始案例，首先，对FaceNet进行训练。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "from tensorflow.python.ops import data_flow_ops\n",
    "import itertools\n",
    "import numpy as np\n",
    "import time\n",
    "\n",
    "from src.facenet import get_dataset, load_data, load_model\n",
    "from src.train_tripletloss import sample_people, select_triplets, save_variables_and_metagraph"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## FaceNet模型搭建和训练\n",
    "\n",
    "FaceNet论文见此链接：https://arxiv.org/abs/1503.03832\n",
    "\n",
    "###  FaceNet结构总览\n",
    "\n",
    "![FaceNet-structure](./img/FN-str-1.png)\n",
    "\n",
    "在MTCNN将人脸区域识别出来之后，我们使用FaceNet进行人脸特征提取。\n",
    "\n",
    "完整的FaceNet包括：**批输入层， 深度卷积神经网络，$L^2$范式， EMBEDDING，三重损失函数**，深度卷积网络部分的结构和搭建我们将在下一部分进行讲解，通过深度卷积网络，输入图片的特征图被提取出来，接着计算L2范数。\n",
    "\n",
    "### embedding\n",
    "\n",
    "Embedding算法将正整数（下标）转换为具有固定大小的向量\n",
    "\n",
    "\n",
    "### 三重损失函数Triplet loss      \n",
    "\n",
    "模型的训练通过三重损失函数来实现。当我们判断两张图片是否为同一个人时，我们判断两张图片中人脸的128维向量的欧式距离是否相近，如果足够相近则判断为同一个人。在FaceNet中，计算三重损失函数训练能够学到较好的人脸的Embedding。三重损失函数的输入分为三部分：**anchor**， **positive**，**negative**。 **anchor**是随机挑选出的数据，**positive**与anchor来自同一类别，而**negative**与anchor类别不同。模型需要判断出三者的关系，将**anchor**和**positive**之间的距离拉近，将**anchor**和**negative**之间的距离推远。\n",
    "\n",
    "![Triplet-loss -structure](./img/FN-str-2.png)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### FaceNet骨干网络搭建 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Inception-Resnet-A\n",
    "def block35(net, scale=1.0, activation_fn=tf.nn.relu, scope=None, reuse=None):\n",
    "    \"\"\"Builds the 35x35 resnet block.\"\"\"\n",
    "    with tf.variable_scope(scope, 'Block35', [net], reuse=reuse):\n",
    "        with tf.variable_scope('Branch_0'):\n",
    "            tower_conv = slim.conv2d(net, 32, 1, scope='Conv2d_1x1')\n",
    "        with tf.variable_scope('Branch_1'):\n",
    "            tower_conv1_0 = slim.conv2d(net, 32, 1, scope='Conv2d_0a_1x1')\n",
    "            tower_conv1_1 = slim.conv2d(tower_conv1_0, 32, 3, scope='Conv2d_0b_3x3')\n",
    "        with tf.variable_scope('Branch_2'):\n",
    "            tower_conv2_0 = slim.conv2d(net, 32, 1, scope='Conv2d_0a_1x1')\n",
    "            tower_conv2_1 = slim.conv2d(tower_conv2_0, 32, 3, scope='Conv2d_0b_3x3')\n",
    "            tower_conv2_2 = slim.conv2d(tower_conv2_1, 32, 3, scope='Conv2d_0c_3x3')\n",
    "        mixed = tf.concat([tower_conv, tower_conv1_1, tower_conv2_2], 3)\n",
    "        up = slim.conv2d(mixed, net.get_shape()[3], 1, normalizer_fn=None,\n",
    "                         activation_fn=None, scope='Conv2d_1x1')\n",
    "        net += scale * up\n",
    "        if activation_fn:\n",
    "            net = activation_fn(net)\n",
    "    return net"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Inception-Resnet-B\n",
    "def block17(net, scale=1.0, activation_fn=tf.nn.relu, scope=None, reuse=None):\n",
    "    \"\"\"Builds the 17x17 resnet block.\"\"\"\n",
    "    with tf.variable_scope(scope, 'Block17', [net], reuse=reuse):\n",
    "        with tf.variable_scope('Branch_0'):\n",
    "            tower_conv = slim.conv2d(net, 128, 1, scope='Conv2d_1x1')\n",
    "        with tf.variable_scope('Branch_1'):\n",
    "            tower_conv1_0 = slim.conv2d(net, 128, 1, scope='Conv2d_0a_1x1')\n",
    "            tower_conv1_1 = slim.conv2d(tower_conv1_0, 128, [1, 7], scope='Conv2d_0b_1x7')\n",
    "            tower_conv1_2 = slim.conv2d(tower_conv1_1, 128, [7, 1], scope='Conv2d_0c_7x1')\n",
    "        mixed = tf.concat([tower_conv, tower_conv1_2], 3)\n",
    "        up = slim.conv2d(mixed, net.get_shape()[3], 1, normalizer_fn=None, activation_fn=None, scope='Conv2d_1x1')\n",
    "        net += scale * up\n",
    "        if activation_fn:\n",
    "            net = activation_fn(net)\n",
    "    return net"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Inception-Resnet-C\n",
    "def block8(net, scale=1.0, activation_fn=tf.nn.relu, scope=None, reuse=None):\n",
    "    \"\"\"Builds the 8x8 resnet block.\"\"\"\n",
    "    with tf.variable_scope(scope, 'Block8', [net], reuse=reuse):\n",
    "        with tf.variable_scope('Branch_0'):\n",
    "            tower_conv = slim.conv2d(net, 192, 1, scope='Conv2d_1x1')\n",
    "        with tf.variable_scope('Branch_1'):\n",
    "            tower_conv1_0 = slim.conv2d(net, 192, 1, scope='Conv2d_0a_1x1')\n",
    "            tower_conv1_1 = slim.conv2d(tower_conv1_0, 192, [1, 3],\n",
    "                                        scope='Conv2d_0b_1x3')\n",
    "            tower_conv1_2 = slim.conv2d(tower_conv1_1, 192, [3, 1],\n",
    "                                        scope='Conv2d_0c_3x1')\n",
    "        mixed = tf.concat([tower_conv, tower_conv1_2], 3)\n",
    "        up = slim.conv2d(mixed, net.get_shape()[3], 1, normalizer_fn=None,\n",
    "                         activation_fn=None, scope='Conv2d_1x1')\n",
    "        net += scale * up\n",
    "        if activation_fn:\n",
    "            net = activation_fn(net)\n",
    "    return net"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def reduction_a(net, k, l, m, n):\n",
    "    with tf.variable_scope('Branch_0'):\n",
    "        tower_conv = slim.conv2d(net, n, 3, stride=2, padding='VALID',\n",
    "                                 scope='Conv2d_1a_3x3')\n",
    "    with tf.variable_scope('Branch_1'):\n",
    "        tower_conv1_0 = slim.conv2d(net, k, 1, scope='Conv2d_0a_1x1')\n",
    "        tower_conv1_1 = slim.conv2d(tower_conv1_0, l, 3,\n",
    "                                    scope='Conv2d_0b_3x3')\n",
    "        tower_conv1_2 = slim.conv2d(tower_conv1_1, m, 3,\n",
    "                                    stride=2, padding='VALID',\n",
    "                                    scope='Conv2d_1a_3x3')\n",
    "    with tf.variable_scope('Branch_2'):\n",
    "        tower_pool = slim.max_pool2d(net, 3, stride=2, padding='VALID',\n",
    "                                     scope='MaxPool_1a_3x3')\n",
    "    net = tf.concat([tower_conv, tower_conv1_2, tower_pool], 3)\n",
    "    return net"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def reduction_b(net):\n",
    "    with tf.variable_scope('Branch_0'):\n",
    "        tower_conv = slim.conv2d(net, 256, 1, scope='Conv2d_0a_1x1')\n",
    "        tower_conv_1 = slim.conv2d(tower_conv, 384, 3, stride=2,\n",
    "                                   padding='VALID', scope='Conv2d_1a_3x3')\n",
    "    with tf.variable_scope('Branch_1'):\n",
    "        tower_conv1 = slim.conv2d(net, 256, 1, scope='Conv2d_0a_1x1')\n",
    "        tower_conv1_1 = slim.conv2d(tower_conv1, 256, 3, stride=2,\n",
    "                                    padding='VALID', scope='Conv2d_1a_3x3')\n",
    "    with tf.variable_scope('Branch_2'):\n",
    "        tower_conv2 = slim.conv2d(net, 256, 1, scope='Conv2d_0a_1x1')\n",
    "        tower_conv2_1 = slim.conv2d(tower_conv2, 256, 3,\n",
    "                                    scope='Conv2d_0b_3x3')\n",
    "        tower_conv2_2 = slim.conv2d(tower_conv2_1, 256, 3, stride=2,\n",
    "                                    padding='VALID', scope='Conv2d_1a_3x3')\n",
    "    with tf.variable_scope('Branch_3'):\n",
    "        tower_pool = slim.max_pool2d(net, 3, stride=2, padding='VALID',\n",
    "                                     scope='MaxPool_1a_3x3')\n",
    "    net = tf.concat([tower_conv_1, tower_conv1_1,\n",
    "                        tower_conv2_2, tower_pool], 3)\n",
    "    return net"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /home/ma-user/anaconda3/envs/TensorFlow-1.13.1/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Colocations handled automatically by placer.\n",
      "WARNING:tensorflow:From /home/ma-user/anaconda3/envs/TensorFlow-1.13.1/lib/python3.6/site-packages/tensorflow/contrib/layers/python/layers/layers.py:1624: flatten (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use keras.layers.flatten instead.\n",
      "WARNING:tensorflow:From /home/ma-user/anaconda3/envs/TensorFlow-1.13.1/lib/python3.6/site-packages/tensorflow/python/keras/layers/core.py:143: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.\n"
     ]
    }
   ],
   "source": [
    "import tensorflow.contrib.slim as slim\n",
    "\n",
    "def inception_resnet_v1(inputs, is_training=True,\n",
    "                        dropout_keep_prob=0.8,\n",
    "                        bottleneck_layer_size=128,\n",
    "                        reuse=None, \n",
    "                        scope='InceptionResnetV1'):\n",
    "    end_points = {}\n",
    "  \n",
    "    with tf.variable_scope(scope, 'InceptionResnetV1', [inputs], reuse=reuse):\n",
    "        with slim.arg_scope([slim.batch_norm, slim.dropout],is_training=is_training):\n",
    "            with slim.arg_scope([slim.conv2d, slim.max_pool2d, slim.avg_pool2d], stride=1, padding='SAME'):\n",
    "                # stem 部分\n",
    "                # 149 x 149 x 32\n",
    "                net = slim.conv2d(inputs, 32, 3, stride=2, padding='VALID', scope='Conv2d_1a_3x3')\n",
    "                end_points['Conv2d_1a_3x3'] = net\n",
    "                # 147 x 147 x 32\n",
    "                net = slim.conv2d(net, 32, 3, padding='VALID', scope='Conv2d_2a_3x3')\n",
    "                end_points['Conv2d_2a_3x3'] = net \n",
    "                # 147 x 147 x 64\n",
    "                net = slim.conv2d(net, 64, 3, scope='Conv2d_2b_3x3')\n",
    "                end_points['Conv2d_2b_3x3'] = net                \n",
    "                # 73 x 73 x 64\n",
    "                net = slim.max_pool2d(net, 3, stride=2, padding='VALID', scope='MaxPool_3a_3x3')\n",
    "                end_points['MaxPool_3a_3x3'] = net                \n",
    "                # 73 x 73 x 80\n",
    "                net = slim.conv2d(net, 80, 1, padding='VALID', scope='Conv2d_3b_1x1')\n",
    "                end_points['Conv2d_3b_1x1'] = net\n",
    "                # 71 x 71 x 192\n",
    "                net = slim.conv2d(net, 192, 3, padding='VALID', scope='Conv2d_4a_3x3')\n",
    "                end_points['Conv2d_4a_3x3'] = net\n",
    "                # 35 x 35 x 256\n",
    "                net = slim.conv2d(net, 256, 3, stride=2, padding='VALID', scope='Conv2d_4b_3x3')\n",
    "                end_points['Conv2d_4b_3x3'] = net\n",
    "\n",
    "                # Inception-resnet-A 部分\n",
    "                net = slim.repeat(net, 5, block35, scale=0.17)\n",
    "                end_points['Mixed_5a'] = net\n",
    "        \n",
    "                # Reduction-A\n",
    "                with tf.variable_scope('Mixed_6a'):\n",
    "                    net = reduction_a(net, 192, 192, 256, 384)\n",
    "                end_points['Mixed_6a'] = net\n",
    "                \n",
    "                # Inception-Resnet-B 部分\n",
    "                net = slim.repeat(net, 10, block17, scale=0.10)\n",
    "                end_points['Mixed_6b'] = net\n",
    "                \n",
    "                # Reduction-B\n",
    "                with tf.variable_scope('Mixed_7a'):\n",
    "                    net = reduction_b(net)\n",
    "                end_points['Mixed_7a'] = net\n",
    "                \n",
    "                # Inception-Resnet-C 部分\n",
    "                net = slim.repeat(net, 5, block8, scale=0.20)\n",
    "                end_points['Mixed_8a'] = net\n",
    "                \n",
    "                net = block8(net, activation_fn=None)\n",
    "                end_points['Mixed_8b'] = net\n",
    "                \n",
    "                with tf.variable_scope('Logits'):\n",
    "                    end_points['PrePool'] = net\n",
    "                    #pylint: disable=no-member\n",
    "                    net = slim.avg_pool2d(net, net.get_shape()[1:3], padding='VALID',\n",
    "                                          scope='AvgPool_1a_8x8')\n",
    "                    net = slim.flatten(net)\n",
    "          \n",
    "                    net = slim.dropout(net, dropout_keep_prob, is_training=is_training, scope='Dropout')\n",
    "          \n",
    "                    end_points['PreLogitsFlatten'] = net\n",
    "                \n",
    "                net = slim.fully_connected(net, bottleneck_layer_size, activation_fn=None, \n",
    "                        scope='Bottleneck', reuse=False)\n",
    "  \n",
    "    return net, end_points\n",
    "tf.reset_default_graph()\n",
    "inputs = tf.placeholder(tf.float32, shape=(None, 229, 229, 3))\n",
    "net, end_points = inception_resnet_v1(inputs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "查看模型结构信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Conv2d_1a_3x3': <tf.Tensor 'InceptionResnetV1/Conv2d_1a_3x3/Relu:0' shape=(?, 114, 114, 32) dtype=float32>,\n",
       " 'Conv2d_2a_3x3': <tf.Tensor 'InceptionResnetV1/Conv2d_2a_3x3/Relu:0' shape=(?, 112, 112, 32) dtype=float32>,\n",
       " 'Conv2d_2b_3x3': <tf.Tensor 'InceptionResnetV1/Conv2d_2b_3x3/Relu:0' shape=(?, 112, 112, 64) dtype=float32>,\n",
       " 'Conv2d_3b_1x1': <tf.Tensor 'InceptionResnetV1/Conv2d_3b_1x1/Relu:0' shape=(?, 55, 55, 80) dtype=float32>,\n",
       " 'Conv2d_4a_3x3': <tf.Tensor 'InceptionResnetV1/Conv2d_4a_3x3/Relu:0' shape=(?, 53, 53, 192) dtype=float32>,\n",
       " 'Conv2d_4b_3x3': <tf.Tensor 'InceptionResnetV1/Conv2d_4b_3x3/Relu:0' shape=(?, 26, 26, 256) dtype=float32>,\n",
       " 'MaxPool_3a_3x3': <tf.Tensor 'InceptionResnetV1/MaxPool_3a_3x3/MaxPool:0' shape=(?, 55, 55, 64) dtype=float32>,\n",
       " 'Mixed_5a': <tf.Tensor 'InceptionResnetV1/Repeat/block35_5/Relu:0' shape=(?, 26, 26, 256) dtype=float32>,\n",
       " 'Mixed_6a': <tf.Tensor 'InceptionResnetV1/Mixed_6a/concat:0' shape=(?, 12, 12, 896) dtype=float32>,\n",
       " 'Mixed_6b': <tf.Tensor 'InceptionResnetV1/Repeat_1/block17_10/Relu:0' shape=(?, 12, 12, 896) dtype=float32>,\n",
       " 'Mixed_7a': <tf.Tensor 'InceptionResnetV1/Mixed_7a/concat:0' shape=(?, 5, 5, 1792) dtype=float32>,\n",
       " 'Mixed_8a': <tf.Tensor 'InceptionResnetV1/Repeat_2/block8_5/Relu:0' shape=(?, 5, 5, 1792) dtype=float32>,\n",
       " 'Mixed_8b': <tf.Tensor 'InceptionResnetV1/Block8/add:0' shape=(?, 5, 5, 1792) dtype=float32>,\n",
       " 'PreLogitsFlatten': <tf.Tensor 'InceptionResnetV1/Logits/Dropout/dropout_1/mul:0' shape=(?, 1792) dtype=float32>,\n",
       " 'PrePool': <tf.Tensor 'InceptionResnetV1/Block8/add:0' shape=(?, 5, 5, 1792) dtype=float32>}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "end_points"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 构建TensorFlow计算图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def inference(images, keep_probability, phase_train=True,\n",
    "              bottleneck_layer_size=128, weight_decay=0.0, reuse=None):\n",
    "    batch_norm_params = {\n",
    "        # Decay for the moving averages.\n",
    "        'decay': 0.995,\n",
    "        # epsilon to prevent 0s in variance.\n",
    "        'epsilon': 0.001,\n",
    "        # force in-place updates of mean and variance estimates\n",
    "        'updates_collections': None,\n",
    "        # Moving averages ends up in the trainable variables collection\n",
    "        'variables_collections': [ tf.GraphKeys.TRAINABLE_VARIABLES ],\n",
    "    }\n",
    "\n",
    "    with slim.arg_scope([slim.conv2d, slim.fully_connected],\n",
    "                        weights_initializer=slim.initializers.xavier_initializer(),\n",
    "                        weights_regularizer=slim.l2_regularizer(weight_decay),\n",
    "                        normalizer_fn=slim.batch_norm,\n",
    "                        normalizer_params=batch_norm_params):\n",
    "        return inception_resnet_v1(images, is_training=phase_train,\n",
    "              dropout_keep_prob=keep_probability, bottleneck_layer_size=bottleneck_layer_size, reuse=reuse)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "创建一个新的Graph，全局步数为0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "tf.reset_default_graph()\n",
    "global_step = tf.Variable(0, trainable=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "创建变量的占位符"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "learning_rate_placeholder = tf.placeholder(tf.float32, name='learning_rate')\n",
    "batch_size_placeholder = tf.placeholder(tf.int32, name='batch_size')\n",
    "phase_train_placeholder = tf.placeholder(tf.bool, name='phase_train')\n",
    "image_paths_placeholder = tf.placeholder(tf.string, shape=(None,3), name='image_paths')\n",
    "labels_placeholder = tf.placeholder(tf.int64, shape=(None,3), name='labels')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "设置超参，可以根据不同情况进行调节"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 训练数据路径\n",
    "data_dir = './data/CASIA-maxpy-clean/'\n",
    "# 预训练模型位置\n",
    "pretrained_model = \"./20170512-110547/\"\n",
    "# 图片大小\n",
    "image_size  =160\n",
    "# 批大小\n",
    "batch_size = 90\n",
    "# Embedding维度\n",
    "embedding_size = 128\n",
    "# 权重衰减\n",
    "weight_decay = 0.0\n",
    "\n",
    "# 学习率\n",
    "learning_rate = 0.05\n",
    "# 批处理数量\n",
    "people_per_batch = 9\n",
    "images_per_person = 8"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据准备\n",
    "\n",
    "创建enqueue_op，创建数据多线程读取节点。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "input_queue = data_flow_ops.FIFOQueue(capacity=100000,\n",
    "                        dtypes=[tf.string, tf.int64],\n",
    "                        shapes=[(3,), (3,)],\n",
    "                        shared_name=None, name=None)\n",
    "enqueue_op = input_queue.enqueue_many([image_paths_placeholder, labels_placeholder])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "图像预处理经过了数据增强：随机切割，随机翻转，以及图片标准化\n",
    "\n",
    "**数据增强**：通过图像翻转、旋转等操作，扩充数据集、增加数据多样性。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /home/ma-user/anaconda3/envs/TensorFlow-1.13.1/lib/python3.6/site-packages/tensorflow/python/ops/image_ops_impl.py:1241: div (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Deprecated in favor of operator or tf.math.divide.\n",
      "WARNING:tensorflow:From <ipython-input-16-888c8bd4f082>:33: batch_join (from tensorflow.python.training.input) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Queue-based input pipelines have been replaced by `tf.data`. Use `tf.data.Dataset.interleave(...).batch(batch_size)` (or `padded_batch(...)` if `dynamic_pad=True`).\n",
      "WARNING:tensorflow:From /home/ma-user/anaconda3/envs/TensorFlow-1.13.1/lib/python3.6/site-packages/tensorflow/python/training/input.py:736: QueueRunner.__init__ (from tensorflow.python.training.queue_runner_impl) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "To construct input pipelines, use the `tf.data` module.\n",
      "WARNING:tensorflow:From /home/ma-user/anaconda3/envs/TensorFlow-1.13.1/lib/python3.6/site-packages/tensorflow/python/training/input.py:736: add_queue_runner (from tensorflow.python.training.queue_runner_impl) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "To construct input pipelines, use the `tf.data` module.\n",
      "WARNING:tensorflow:From /home/ma-user/anaconda3/envs/TensorFlow-1.13.1/lib/python3.6/site-packages/tensorflow/python/training/input.py:823: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use tf.cast instead.\n"
     ]
    }
   ],
   "source": [
    "images_and_labels = []\n",
    "# 读取数据线程数\n",
    "nrof_preprocess_threads = 4\n",
    "for _ in range(nrof_preprocess_threads):\n",
    "#     在队列中将数据读取出来\n",
    "    filenames, label = input_queue.dequeue()\n",
    "    images = []\n",
    "    for filename in tf.unstack(filenames):\n",
    "        #读取图片并对图片进行编码\n",
    "        file_contents = tf.read_file(filename)\n",
    "        image = tf.image.decode_image(file_contents, channels=3)\n",
    "        random_crop = True\n",
    "        #随机切割：一种数据扩充方法，不但提高了模型精度，也增强了模型稳定性。\n",
    "        if random_crop:\n",
    "            image = tf.random_crop(image, [image_size, image_size, 3])\n",
    "        else:\n",
    "            image = tf.image.resize_image_with_crop_or_pad(image, image_size, image_size)\n",
    "        random_flip = True\n",
    "        #图片随机翻转：数据扩充\n",
    "        if random_flip:\n",
    "            image = tf.image.random_flip_left_right(image)\n",
    "        #对图片大小进行统一\n",
    "        image.set_shape((image_size, image_size, 3))\n",
    "        # 对图片进行标准化，以提高训练的速度\n",
    "        images.append(tf.image.per_image_standardization(image))\n",
    "    images_and_labels.append([images, label])\n",
    "# 多线程queue，将数据进行批读取\n",
    "\n",
    "image_batch, labels_batch = tf.train.batch_join(\n",
    "        images_and_labels, batch_size=batch_size_placeholder, \n",
    "        shapes=[(image_size, image_size, 3), ()], enqueue_many=True,\n",
    "        capacity=4 * nrof_preprocess_threads * batch_size,\n",
    "        allow_smaller_final_batch=True)\n",
    "# 赋值语句\n",
    "image_batch = tf.identity(image_batch, 'image_batch')\n",
    "image_batch = tf.identity(image_batch, 'input')\n",
    "labels_batch = tf.identity(labels_batch, 'label_batch')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 计算损失函数\n",
    "\n",
    "加载Inception-ResnetV1网络结构"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# dropout概率\n",
    "keep_probability = 1.0\n",
    "#加载 Inception-ResnetV1网络结构\n",
    "prelogits, _ = inference(image_batch, keep_probability, phase_train=phase_train_placeholder, \n",
    "                                 bottleneck_layer_size=embedding_size,weight_decay=weight_decay)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "对神经网络的计算结果进行L2范式归一化，然后进行三重损失函数计算。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "embeddings = tf.nn.l2_normalize(prelogits, 1, 1e-10, name='embeddings')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "将embeddings分为 anchor， positive和 negative"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "anchor, positive, negative = tf.unstack(tf.reshape(embeddings, [-1,3,embedding_size]), 3, 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "三重损失计算函数`triplet_loss`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "alpha = 0.2\n",
    "def triplet_loss(anchor, positive, negative, alpha):\n",
    "    with tf.variable_scope('triplet_loss'):\n",
    "        pos_dist = tf.reduce_sum(tf.square(tf.subtract(anchor, positive)), 1)\n",
    "        neg_dist = tf.reduce_sum(tf.square(tf.subtract(anchor, negative)), 1)\n",
    "        \n",
    "        basic_loss = tf.add(tf.subtract(pos_dist,neg_dist), alpha)\n",
    "        loss = tf.reduce_mean(tf.maximum(basic_loss, 0.0), 0)\n",
    "      \n",
    "    return loss"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "根据anchor， positive和 negative计算三重损失"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "triplet_loss = triplet_loss(anchor, positive, negative, alpha)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "计算损失函数总和"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 计算所有损失\n",
    "regularization_losses = tf.get_collection(tf.GraphKeys.REGULARIZATION_LOSSES)\n",
    "total_loss = tf.add_n([triplet_loss] + regularization_losses, name='total_loss')\n",
    "#  生成所有损失的滑动平均\n",
    "loss_averages = tf.train.ExponentialMovingAverage(0.9, name='avg')\n",
    "losses = tf.get_collection('losses')\n",
    "loss_averages_op = loss_averages.apply(losses + [total_loss])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "定义学习率衰减方法：学习率指数衰减"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 学习率衰减步数\n",
    "learning_rate_decay_epochs = 100\n",
    "# 步大小\n",
    "epoch_size = 10\n",
    "# 学习率衰减因数\n",
    "learning_rate_decay_factor = 1.0\n",
    "# 学习率指数衰减\n",
    "learning_rate = tf.train.exponential_decay(learning_rate_placeholder, global_step,learning_rate_decay_epochs*epoch_size,\n",
    "                                           learning_rate_decay_factor, staircase=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 优化器\n",
    "\n",
    "可以看到在下面提供了几种不同的优化器可供选择，分别为ADAGRAD，ADADELTA，ADAM，RMSPROP和MOM。优化器的具体实现已经由TensorFlow封装起来，可以直接进行调用。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /home/ma-user/anaconda3/envs/TensorFlow-1.13.1/lib/python3.6/site-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use tf.cast instead.\n"
     ]
    }
   ],
   "source": [
    "# 定义优化器类型\n",
    "optimizer = 'ADAGRAD'\n",
    "\n",
    "with tf.control_dependencies([loss_averages_op]):\n",
    "    if optimizer=='ADAGRAD':\n",
    "        opt = tf.train.AdagradOptimizer(learning_rate)\n",
    "    elif optimizer=='ADADELTA':\n",
    "        opt = tf.train.AdadeltaOptimizer(learning_rate, rho=0.9, epsilon=1e-6)\n",
    "    elif optimizer=='ADAM':\n",
    "        opt = tf.train.AdamOptimizer(learning_rate, beta1=0.9, beta2=0.999, epsilon=0.1)\n",
    "    elif optimizer=='RMSPROP':\n",
    "        opt = tf.train.RMSPropOptimizer(learning_rate, decay=0.9, momentum=0.9, epsilon=1.0)\n",
    "    elif optimizer=='MOM':\n",
    "        opt = tf.train.MomentumOptimizer(learning_rate, 0.9, use_nesterov=True)\n",
    "    else:\n",
    "        raise ValueError('Invalid optimization algorithm')\n",
    "# 计算梯度\n",
    "    grads = opt.compute_gradients(total_loss, tf.global_variables())\n",
    "# 计算梯度节点\n",
    "apply_gradient_op = opt.apply_gradients(grads, global_step=global_step)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 定义训练节点"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 衰减率\n",
    "moving_average_decay = 0.999\n",
    "\n",
    "# 追踪所有变量的移动平均，消除特殊值的影响\n",
    "variable_averages = tf.train.ExponentialMovingAverage(moving_average_decay, global_step)\n",
    "variables_averages_op = variable_averages.apply(tf.trainable_variables())\n",
    "# 将梯度计算和移动平均加入train节点\n",
    "with tf.control_dependencies([apply_gradient_op, variables_averages_op]):\n",
    "    train_op = tf.no_op(name='train')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From <ipython-input-26-800be5e9a544>:17: start_queue_runners (from tensorflow.python.training.queue_runner_impl) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "To construct input pipelines, use the `tf.data` module.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<Thread(QueueRunnerThread-batch_join/fifo_queue-batch_join/fifo_queue_EnqueueMany, started daemon 139778435577600)>,\n",
       " <Thread(QueueRunnerThread-batch_join/fifo_queue-batch_join/fifo_queue_EnqueueMany_1, started daemon 139778938877696)>,\n",
       " <Thread(QueueRunnerThread-batch_join/fifo_queue-batch_join/fifo_queue_EnqueueMany_2, started daemon 139778947270400)>,\n",
       " <Thread(QueueRunnerThread-batch_join/fifo_queue-batch_join/fifo_queue_EnqueueMany_3, started daemon 139778955663104)>,\n",
       " <Thread(QueueRunnerThread-batch_join/fifo_queue-close_on_stop, started daemon 139779271067392)>]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 获取训练数据\n",
    "train_set = get_dataset(data_dir)\n",
    "\n",
    "# 创建模型saver\n",
    "saver = tf.train.Saver(tf.trainable_variables(), max_to_keep=3)\n",
    "\n",
    "# 设置session\n",
    "gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=0)\n",
    "sess = tf.Session(config=tf.ConfigProto(gpu_options=gpu_options))        \n",
    "\n",
    "# TensorFlow 变量初始化\n",
    "sess.run(tf.global_variables_initializer(), feed_dict={phase_train_placeholder:True})\n",
    "sess.run(tf.local_variables_initializer(), feed_dict={phase_train_placeholder:True})\n",
    "\n",
    "# 创建一个多线程管理器\n",
    "coord = tf.train.Coordinator()\n",
    "tf.train.start_queue_runners(coord=coord, sess=sess)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "定义训练过程："
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "训练过程使用了CASIA数据集\n",
    "\n",
    ">CASIA数据集    \n",
    "数据集提供了约10000个对象的约500000张图片，叫做CASIA- WebFace. 借用iMDb网站抓取人脸数据并进行标记，采用了一种半自动的数据收集方法，避免了逐一为数据增加标记。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "def train(learning_rate, batch_size , image_size, sess, dataset, epoch, image_paths_placeholder, labels_placeholder, labels_batch,\n",
    "          batch_size_placeholder, learning_rate_placeholder, phase_train_placeholder, enqueue_op, input_queue, global_step, \n",
    "          embeddings, loss, train_op, embedding_size, anchor, positive, negative, triplet_loss):\n",
    "    \n",
    "    batch_number = 0\n",
    "    lr = learning_rate\n",
    "    print(lr)\n",
    "    # 进行epoch 数量的训练    \n",
    "    while batch_number < epoch_size:\n",
    "        # 进行数据随机挑选\n",
    "        image_paths, num_per_class = sample_people(dataset, people_per_batch, images_per_person)\n",
    "        # 加载数据集中的图片路径和数量信息\n",
    "        print('Running forward pass on sampled images: ', end='')\n",
    "        start_time = time.time()\n",
    "        nrof_examples = people_per_batch * images_per_person\n",
    "        labels_array = np.reshape(np.arange(nrof_examples),(-1,3))\n",
    "        image_paths_array = np.reshape(np.expand_dims(np.array(image_paths),1), (-1,3))\n",
    "        # 进行数据加载操作\n",
    "        sess.run(enqueue_op, {image_paths_placeholder: image_paths_array, labels_placeholder: labels_array})\n",
    "        emb_array = np.zeros((nrof_examples, embedding_size))\n",
    "        nrof_batches = int(np.ceil(nrof_examples / batch_size))\n",
    "        for i in range(nrof_batches):\n",
    "            batch_size = min(nrof_examples-i*batch_size, batch_size)\n",
    "\n",
    "            emb, lab = sess.run([embeddings, labels_batch], feed_dict={batch_size_placeholder: batch_size, \n",
    "                learning_rate_placeholder: lr, phase_train_placeholder: True})\n",
    "            emb_array[lab,:] = emb\n",
    "        print('%.3f' % (time.time()-start_time))\n",
    "\n",
    "        # 根据embedding的数值选择triplets\n",
    "        print('Selecting suitable triplets for training')\n",
    "        triplets, nrof_random_negs, nrof_triplets = select_triplets(emb_array, num_per_class, \n",
    "            image_paths, people_per_batch, alpha)\n",
    "        selection_time = time.time() - start_time\n",
    "        print('(nrof_random_negs, nrof_triplets) = (%d, %d): time=%.3f seconds' % \n",
    "            (nrof_random_negs, nrof_triplets, selection_time))\n",
    "\n",
    "        nrof_batches = int(np.ceil(nrof_triplets*3/batch_size))\n",
    "        triplet_paths = list(itertools.chain(*triplets))\n",
    "        labels_array = np.reshape(np.arange(len(triplet_paths)),(-1,3))\n",
    "        triplet_paths_array = np.reshape(np.expand_dims(np.array(triplet_paths),1), (-1,3))\n",
    "        \n",
    "#         将triplets进行训练\n",
    "        sess.run(enqueue_op, {image_paths_placeholder: triplet_paths_array, labels_placeholder: labels_array})\n",
    "        nrof_examples = len(triplet_paths)\n",
    "        train_time = 0\n",
    "        i = 0\n",
    "        emb_array = np.zeros((nrof_examples, embedding_size))\n",
    "        loss_array = np.zeros((nrof_triplets,))\n",
    "        step = 0\n",
    "        while i < nrof_batches:\n",
    "            start_time = time.time()\n",
    "            batch_size = min(nrof_examples-i*batch_size, batch_size)\n",
    "            feed_dict = {batch_size_placeholder: batch_size, learning_rate_placeholder: lr, phase_train_placeholder: True}\n",
    "#             训练train_op\n",
    "            err, _, step, emb, lab = sess.run([loss, train_op, global_step, embeddings, labels_batch], feed_dict=feed_dict)\n",
    "            emb_array[lab,:] = emb\n",
    "            loss_array[i] = err\n",
    "            duration = time.time() - start_time\n",
    "            print('Epoch: [%d][%d/%d]\\tTime %.3f\\tLoss %2.3f' %\n",
    "                  (epoch, batch_number+1, epoch_size, duration, err))\n",
    "            batch_number += 1\n",
    "            i += 1\n",
    "            train_time += duration\n",
    "\n",
    "    return step\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 开始训练"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model directory: ./20170512-110547/\n",
      "Metagraph file: model-20170512-110547.meta\n",
      "Checkpoint file: model-20170512-110547.ckpt-250000\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:The saved meta_graph is possibly from an older release:\n",
      "'model_variables' collection should be of type 'byte_list', but instead is of type 'node_list'.\n",
      "WARNING:tensorflow:From /home/ma-user/anaconda3/envs/TensorFlow-1.13.1/lib/python3.6/site-packages/tensorflow/python/training/saver.py:1266: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use standard file APIs to check for files with this prefix.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.05\n",
      "Running forward pass on sampled images: 7.656\n",
      "Selecting suitable triplets for training\n",
      "(nrof_random_negs, nrof_triplets) = (252, 173): time=7.662 seconds\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ma-user/work/1122/FaceNet/DL_face_recognition_advanced/src/train_tripletloss.py:299: RuntimeWarning: invalid value encountered in less\n",
      "  all_neg = np.where(neg_dists_sqr-pos_dist_sqr<alpha)[0] # VGG Face selecction\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [0][1/10]\tTime 15.440\tLoss 0.226\n",
      "Epoch: [0][2/10]\tTime 0.138\tLoss 0.127\n",
      "Epoch: [0][3/10]\tTime 0.140\tLoss 0.130\n",
      "Epoch: [0][4/10]\tTime 0.137\tLoss 0.080\n",
      "Epoch: [0][5/10]\tTime 0.137\tLoss 0.098\n",
      "Epoch: [0][6/10]\tTime 0.140\tLoss 0.065\n",
      "Epoch: [0][7/10]\tTime 0.137\tLoss 0.095\n",
      "Epoch: [0][8/10]\tTime 0.410\tLoss 0.099\n",
      "Running forward pass on sampled images: 0.258\n",
      "Selecting suitable triplets for training\n",
      "(nrof_random_negs, nrof_triplets) = (252, 226): time=0.265 seconds\n",
      "Epoch: [0][9/10]\tTime 0.387\tLoss 0.102\n",
      "Epoch: [0][10/10]\tTime 0.168\tLoss 0.110\n",
      "Epoch: [0][11/10]\tTime 0.142\tLoss 0.049\n",
      "Epoch: [0][12/10]\tTime 0.063\tLoss 0.065\n",
      "Epoch: [0][13/10]\tTime 0.063\tLoss 0.090\n",
      "Epoch: [0][14/10]\tTime 0.062\tLoss 0.054\n",
      "Epoch: [0][15/10]\tTime 0.063\tLoss 0.000\n",
      "Epoch: [0][16/10]\tTime 0.062\tLoss 0.346\n",
      "Epoch: [0][17/10]\tTime 0.061\tLoss 0.089\n",
      "Epoch: [0][18/10]\tTime 0.062\tLoss 0.206\n",
      "Epoch: [0][19/10]\tTime 0.062\tLoss 0.008\n",
      "Epoch: [0][20/10]\tTime 0.063\tLoss 0.184\n",
      "Epoch: [0][21/10]\tTime 0.063\tLoss 0.000\n",
      "Epoch: [0][22/10]\tTime 0.063\tLoss 0.000\n",
      "Epoch: [0][23/10]\tTime 0.062\tLoss 0.000\n",
      "Epoch: [0][24/10]\tTime 0.063\tLoss 0.049\n",
      "Epoch: [0][25/10]\tTime 0.062\tLoss 0.041\n",
      "Epoch: [0][26/10]\tTime 0.062\tLoss 0.000\n",
      "Epoch: [0][27/10]\tTime 0.062\tLoss 0.000\n",
      "Epoch: [0][28/10]\tTime 0.062\tLoss 0.176\n",
      "Epoch: [0][29/10]\tTime 0.061\tLoss 0.000\n",
      "Epoch: [0][30/10]\tTime 0.062\tLoss 0.000\n",
      "Epoch: [0][31/10]\tTime 0.063\tLoss 0.152\n",
      "Epoch: [0][32/10]\tTime 0.062\tLoss 0.025\n",
      "Epoch: [0][33/10]\tTime 0.062\tLoss 0.050\n",
      "Epoch: [0][34/10]\tTime 0.062\tLoss 0.092\n",
      "Epoch: [0][35/10]\tTime 0.061\tLoss 0.000\n",
      "Epoch: [0][36/10]\tTime 0.063\tLoss 0.047\n",
      "Epoch: [0][37/10]\tTime 0.063\tLoss 0.000\n",
      "Epoch: [0][38/10]\tTime 0.062\tLoss 0.232\n",
      "Epoch: [0][39/10]\tTime 0.063\tLoss 0.019\n",
      "Epoch: [0][40/10]\tTime 0.063\tLoss 0.194\n",
      "Epoch: [0][41/10]\tTime 0.063\tLoss 0.125\n",
      "Epoch: [0][42/10]\tTime 0.062\tLoss 0.012\n",
      "Epoch: [0][43/10]\tTime 0.062\tLoss 0.262\n",
      "Epoch: [0][44/10]\tTime 0.062\tLoss 0.000\n",
      "Epoch: [0][45/10]\tTime 0.061\tLoss 0.000\n",
      "Epoch: [0][46/10]\tTime 0.061\tLoss 0.030\n",
      "Epoch: [0][47/10]\tTime 0.063\tLoss 0.000\n",
      "Epoch: [0][48/10]\tTime 0.062\tLoss 0.128\n",
      "Epoch: [0][49/10]\tTime 0.061\tLoss 0.000\n",
      "Epoch: [0][50/10]\tTime 0.063\tLoss 0.076\n",
      "Epoch: [0][51/10]\tTime 0.062\tLoss 0.098\n",
      "Epoch: [0][52/10]\tTime 0.061\tLoss 0.016\n",
      "Epoch: [0][53/10]\tTime 0.062\tLoss 0.000\n",
      "Epoch: [0][54/10]\tTime 0.062\tLoss 0.000\n",
      "Epoch: [0][55/10]\tTime 0.063\tLoss 0.253\n",
      "Epoch: [0][56/10]\tTime 0.062\tLoss 0.038\n",
      "Epoch: [0][57/10]\tTime 0.063\tLoss 0.000\n",
      "Epoch: [0][58/10]\tTime 0.062\tLoss 0.000\n",
      "Epoch: [0][59/10]\tTime 0.061\tLoss 0.000\n",
      "Epoch: [0][60/10]\tTime 0.063\tLoss 0.092\n",
      "Epoch: [0][61/10]\tTime 0.062\tLoss 0.036\n",
      "Epoch: [0][62/10]\tTime 0.062\tLoss 0.000\n",
      "Epoch: [0][63/10]\tTime 0.063\tLoss 0.040\n",
      "Epoch: [0][64/10]\tTime 0.064\tLoss 0.000\n",
      "Epoch: [0][65/10]\tTime 0.313\tLoss 0.000\n",
      "0.05\n",
      "Running forward pass on sampled images: 0.086\n",
      "Selecting suitable triplets for training\n",
      "(nrof_random_negs, nrof_triplets) = (252, 133): time=0.092 seconds\n",
      "Epoch: [6][1/10]\tTime 0.200\tLoss 0.085\n",
      "Epoch: [6][2/10]\tTime 0.181\tLoss 0.134\n",
      "Epoch: [6][3/10]\tTime 0.175\tLoss 0.095\n",
      "Epoch: [6][4/10]\tTime 0.173\tLoss 0.100\n",
      "Epoch: [6][5/10]\tTime 0.175\tLoss 0.025\n",
      "Epoch: [6][6/10]\tTime 0.607\tLoss 0.046\n",
      "Running forward pass on sampled images: 0.275\n",
      "Selecting suitable triplets for training\n",
      "(nrof_random_negs, nrof_triplets) = (252, 196): time=0.281 seconds\n",
      "Epoch: [6][7/10]\tTime 0.505\tLoss 0.061\n",
      "Epoch: [6][8/10]\tTime 0.153\tLoss 0.103\n",
      "Epoch: [6][9/10]\tTime 0.086\tLoss 0.018\n",
      "Epoch: [6][10/10]\tTime 0.086\tLoss 0.132\n",
      "Epoch: [6][11/10]\tTime 0.086\tLoss 0.000\n",
      "Epoch: [6][12/10]\tTime 0.086\tLoss 0.028\n",
      "Epoch: [6][13/10]\tTime 0.086\tLoss 0.033\n",
      "Epoch: [6][14/10]\tTime 0.086\tLoss 0.124\n",
      "Epoch: [6][15/10]\tTime 0.086\tLoss 0.082\n",
      "Epoch: [6][16/10]\tTime 0.086\tLoss 0.075\n",
      "Epoch: [6][17/10]\tTime 0.087\tLoss 0.061\n",
      "Epoch: [6][18/10]\tTime 0.086\tLoss 0.060\n",
      "Epoch: [6][19/10]\tTime 0.086\tLoss 0.112\n",
      "Epoch: [6][20/10]\tTime 0.086\tLoss 0.127\n",
      "Epoch: [6][21/10]\tTime 0.087\tLoss 0.136\n",
      "Epoch: [6][22/10]\tTime 0.086\tLoss 0.173\n",
      "Epoch: [6][23/10]\tTime 0.086\tLoss 0.018\n",
      "Epoch: [6][24/10]\tTime 0.478\tLoss 0.036\n"
     ]
    }
   ],
   "source": [
    "from datetime import datetime\n",
    "import os \n",
    "subdir = datetime.strftime(datetime.now(), '%Y%m%d-%H%M%S')\n",
    "\n",
    "with sess.as_default():\n",
    "    load_model(pretrained_model)\n",
    "    epoch = 0\n",
    "    while epoch < 5:\n",
    "        step = sess.run(global_step, feed_dict=None)\n",
    "        epoch = step // epoch_size\n",
    "        # 调用训练函数进行训练过程\n",
    "        # 调用一次train函数是一个轮次\n",
    "        train(0.05, batch_size, image_size, sess, train_set, epoch, image_paths_placeholder, labels_placeholder, labels_batch,\n",
    "            batch_size_placeholder, learning_rate_placeholder, phase_train_placeholder, enqueue_op, input_queue, global_step, \n",
    "            embeddings, total_loss, train_op, \n",
    "            embedding_size, anchor, positive, negative, triplet_loss)\n",
    "\n",
    "        checkpoint_path = os.path.join(pretrained_model, 'model-%s.ckpt' % subdir) # 设置模型保存路径\n",
    "        saver.save(sess, checkpoint_path, global_step=step, write_meta_graph=False) # 保存模型 checkpoint\n",
    "           "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 人脸相似性计算\n",
    "\n",
    "我们已经了解了MTCNN和FaceNet的原理，对FaceNet模型进行了训练，接下来我们进行人脸相似性计算。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在这个案例中，我们将用算法来计算三张图片中两两之间的人脸相似性。三张图片中有两张为同一个人，一张为另一个人。为了体现测试数据的多样性，两个人照片主角为不同性别。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "from PIL import Image\n",
    "import math\n",
    "import tensorflow as tf\n",
    "import scipy.misc as misc\n",
    "import copy\n",
    "import os\n",
    "import cv2\n",
    "import numpy as np\n",
    "import src.facenet as facenet\n",
    "import src.align.detect_face as detect_face\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 函数show_images 负责将图片显示出来\n",
    "# images_list 图片路径集合\n",
    "# images_names 图片名称集合，顺序与大小与图片路径保持一致\n",
    "def show_images(images_list, images_names):\n",
    "    if len(images_list) != len(images_names):\n",
    "        print(\"图片名和图片数量不符\")\n",
    "    else:\n",
    "        l = len(images_list)\n",
    "        #确定行列数\n",
    "        #固定为2列\n",
    "        line =  math.ceil(l/2)\n",
    "        for i in range(l):\n",
    "            plt.rcParams['savefig.dpi'] = 200 #图片像素\n",
    "            plt.rcParams['figure.dpi'] = 150 #分辨率\n",
    "            plt.subplot(line,2,i+1)\n",
    "            plt.imshow(Image.open(images_list[i]))\n",
    "            plt.title(images_names[i],fontsize = 10)\n",
    "            plt.axis('off')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 显示测试图片"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "images_list =  [\"./data/test/1.jpg\",\"./data/test/2.jpg\", \"./data/test/3.jpg\"]\n",
    "images_names = [\"1\",\"2\",\"3\"]\n",
    "show_images(images_list,images_names)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "将所有的文件路径加入到image_path中"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "image_path = [\"./data/test/1.jpg\",\"./data/test/2.jpg\", \"./data/test/3.jpg\"]\n",
    "image_name = [\"1\",\"2\",\"3\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 检测人脸区域\n",
    "\n",
    "我们使用`MTCNN`深度神经模型检测人脸区域。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ma-user/anaconda3/envs/TensorFlow-1.13.1/lib/python3.6/site-packages/ipykernel_launcher.py:31: DeprecationWarning: `imresize` is deprecated!\n",
      "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.3.0.\n",
      "Use Pillow instead: ``numpy.array(Image.fromarray(arr).resize())``.\n"
     ]
    }
   ],
   "source": [
    "minsize = 20 # minimum size of face\n",
    "threshold = [ 0.6, 0.7, 0.7 ]  # three steps's threshold\n",
    "factor = 0.709 # scale factor\n",
    "tmp_image_paths=copy.copy(image_path)\n",
    "img_list = [] \n",
    "mtcnn_list = []\n",
    "with tf.Graph().as_default():\n",
    "    gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=1.0)\n",
    "    sess = tf.Session(config=tf.ConfigProto(gpu_options=gpu_options, log_device_placement=False))\n",
    "    with sess.as_default():\n",
    "        pnet, rnet, onet = detect_face.create_mtcnn(sess, None) # 创建 MTCNN 模型的三个子网络\n",
    "margin = 44\n",
    "image_size = 160\n",
    "for image in tmp_image_paths:\n",
    "    img = Image.open(image)\n",
    "    img = np.array(img)\n",
    "    img_size = np.asarray(img.shape)[0:2]\n",
    "    # 得到人脸区域检测结果\n",
    "    bounding_boxes, _ = detect_face.detect_face(img, minsize, pnet, rnet, onet, threshold, factor)\n",
    "    if len(bounding_boxes) < 1:\n",
    "        image_paths.remove(image)\n",
    "        continue\n",
    "    det = np.squeeze(bounding_boxes[0,0:4])\n",
    "    bb = np.zeros(4, dtype=np.int32)\n",
    "    bb[0] = np.maximum(det[0]-margin/2, 0)\n",
    "    bb[1] = np.maximum(det[1]-margin/2, 0)\n",
    "    bb[2] = np.minimum(det[2]+margin/2, img_size[1])\n",
    "    bb[3] = np.minimum(det[3]+margin/2, img_size[0])\n",
    "    cropped = img[bb[1]:bb[3],bb[0]:bb[2],:]\n",
    "    mtcnn_list.append(cropped)\n",
    "    aligned = misc.imresize(cropped, (image_size, image_size), interp='bilinear')\n",
    "    prewhitened = facenet.prewhiten(aligned)\n",
    "    img_list.append(prewhitened)\n",
    "images = np.stack(img_list)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 显示人脸区域\n",
    "\n",
    "将MTCNN模型检测得到的人脸区域显示出来"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "l = len(mtcnn_list)\n",
    "line =  1\n",
    "for i in range(l):\n",
    "    plt.rcParams['savefig.dpi'] = 100 #图片像素\n",
    "    plt.rcParams['figure.dpi'] = 150 #分辨率\n",
    "    plt.subplot(1,l,i+1)\n",
    "    plt.imshow(Image.fromarray(mtcnn_list[i]))\n",
    "    plt.axis('off')\n",
    "    plt.rcParams['font.sans-serif']=['SimHei']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 计算人脸相似性\n",
    "\n",
    "将人脸部分放入FaceNet模型，计算人脸之间的相似性。\n",
    "\n",
    "相似性计算的原理是，计算人脸embeddings之间的欧式距离，距离越小代表越相似。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model filename: ./20170512-110547/20170512-110547.pb\n"
     ]
    }
   ],
   "source": [
    "with tf.Graph().as_default():\n",
    "    with tf.Session() as sess:\n",
    "        facenet.load_model(\"./20170512-110547/20170512-110547.pb\")\n",
    "        images_placeholder = tf.get_default_graph().get_tensor_by_name(\"input:0\")\n",
    "        embeddings = tf.get_default_graph().get_tensor_by_name(\"embeddings:0\")\n",
    "        phase_train_placeholder = tf.get_default_graph().get_tensor_by_name(\"phase_train:0\")\n",
    "        \n",
    "        feed_dict = { images_placeholder: images, phase_train_placeholder:False }\n",
    "        emb = sess.run(embeddings, feed_dict=feed_dict)\n",
    "        nrof_images = len(image_path)\n",
    "\n",
    "        data = []\n",
    "        data_item = []\n",
    "        for i in range(nrof_images):\n",
    "            for j in range(nrof_images):\n",
    "                if j<i:\n",
    "                    data_item.append(\"\"+str(image_name[i])+\"&\"+str(image_name[j]))\n",
    "                    # 计算欧式距离\n",
    "                    dist = np.sqrt(np.sum(np.square(np.subtract(emb[i,:], emb[j,:]))))\n",
    "                    data.append(dist)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 绘制相似性计算结果\n",
    "\n",
    "将相似性结果绘制出来。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 390x260 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 390x260 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 390x260 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import gridspec\n",
    "from matplotlib import pyplot as plt\n",
    "index = 0\n",
    "for face_0 in range(len(mtcnn_list)):\n",
    "    for face_1 in range(len(mtcnn_list)):\n",
    "        if face_1<face_0:\n",
    "            score = data[index]\n",
    "\n",
    "            plt.rcParams['savefig.dpi'] = 65 #图片像素\n",
    "            plt.rcParams['figure.dpi'] = 65 #分辨率\n",
    "\n",
    "            fig = plt.figure(constrained_layout=False)\n",
    "            spec_0 = gridspec.GridSpec(ncols=3, nrows=1, figure=fig)\n",
    "\n",
    "            f0_pic1 = fig.add_subplot(spec_0[0, 0])\n",
    "            f0_pic1.imshow(Image.fromarray(mtcnn_list[face_0]))\n",
    "            f0_pic1.axis('off')\n",
    "            f0_score = fig.add_subplot(spec_0[0, 1])\n",
    "            multi = math.floor(score/0.1)\n",
    "            rema = score%0.1\n",
    "            # 整0.1\n",
    "            for i in range(multi):\n",
    "                if i ==0 :\n",
    "                    p = f0_score.bar(np.array(1), (0.1), 0.1,  color = (1,0,0.2))\n",
    "                else:\n",
    "                    p = f0_score.bar(np.array(1), (0.1), 0.1, bottom=(0.1*(i)), color = (1-0.05*(i),0+0.05*(i),0.2))\n",
    "            # 0.1余数\n",
    "            p = f0_score.bar(np.array(1), (rema), 0.1, bottom=(0.1*multi), color = (1-0.05*(multi+1),0+0.05*(multi+1),0.2))\n",
    "            # 加入悬浮数字\n",
    "            offset = {'center': 0.5, 'right': 0.57, 'left': 0.43} \n",
    "            ha = {'center': 'center', 'right': 'left', 'left': 'right'}\n",
    "            height = data[index]\n",
    "            for bar in p:\n",
    "                f0_score.text(bar.get_x() + bar.get_width()*offset['center'], 1.01*height,\n",
    "                        '{}'.format(height), ha=ha['center'], va='bottom')\n",
    "            f0_score.axis('off')\n",
    "            f2_pic1 = fig.add_subplot(spec_0[0, 2])\n",
    "            f2_pic1.imshow(Image.fromarray(mtcnn_list[face_1]))\n",
    "            f2_pic1.axis('off')\n",
    "            index = index+1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "图中表示两两对比中，数字越大代表人脸间差别越大，差别越大，色柱颜色变化越大。可以看到，\n",
    "来自本人照片色柱变化最小，数值也最小，\n",
    "而性别不同的对照组，色柱变化最大。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 小结\n",
    "\n",
    "本案例涉及的知识点：\n",
    "\n",
    "* TensorFlow计算图操作\n",
    "* MTCNN模型检测人脸区域\n",
    "* FaceNet模型代码实现和训练，并抽取出人脸特征向量\n"
   ]
  }
 ],
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   "display_name": "TensorFlow-1.13.1",
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